Descriptive analysis of Black Friday Death Count Database provides an example of how creative classification can make a quick and easy data science portfolio project!
Category Archives: Data Science
Posts about data science topics.
24
Nov
Nov
Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!
22
Nov
Nov
FAERS data are like any post-market surveillance pharmacy data – notoriously messy. But if you apply strong study design skills and a scientific approach, you can use the FAERS online dashboard to obtain a dataset and develop an enlightening portfolio project. I show you how in my blog post!
Data Science
Dataset Source Documentation: Necessary for Data Science Projects with Multiple Data Sources
09
Nov
Nov
Dataset source documentation is good to keep when you are doing an analysis with data from multiple datasets. Read my blog to learn how easy it is to throw together some quick dataset source documentation in PowerPoint so that you don’t forget what you did.
07
Nov
Nov
Joins in base R must be executed properly or you will lose data. Read my tutorial on how to correctly execute left joins in base R.
02
Nov
Nov
NHANES data piqued your interest? It’s not all sunshine and roses. Read my blog post to see the pitfalls of NHANES data, and get practical advice about using them in a project.
09
Oct
Oct
Color in visualizations of data curation and other data science documentation can be used to enhance communication – I show you how!
06
Oct
Oct
Defaults in PowerPoint are set up for slides – not data visualizations. Read my blog post for tips on reconfiguring PowerPoint to make it easy for dataviz!
04
Oct
Oct
Text and arrows in dataviz, if used wisely, can help your audience understand something very abstract, like a data pipeline. Read my blog post for tips in choosing images for your data visualizations!
01
Oct
Oct
Shapes and images in dataviz, if chosen wisely, can greatly enhance the communicative value of the visualization. Read my blog post for tips in selecting shapes for data visualizations!
